Here we present tomoBEAR - our workflow for processing cryo-ET data for solving structures in situ. It helps us a lot in our group and we are happy to share it. Preprint: biorxiv.org/content/10.110… Presented by: Nikita Nikita Balyschew Artsemi Artsemi Yushkevich Vasilii @mikahydrolysis et al

Yesterday at the LNDWBerlin at the Max Delbrück Center, we engaged adults and kids who discovered the beauty of #cryoET by playing with us and our 3D printed protein monomers! Thank you to all the visitors interested in #Science!

Tomography workshop in Copenhagen today. Artsemi Yushkevich teaches the use of tomobear for automation of data processing. You can also do it at home github.com/KudryashevLab/… Thanks Eva Kummer & Guillermo Montoya for having us !!

Take a look at our new preprint on the molecular architecture of synaptic vesicles purified from mouse brains and in neurons grown on grids biorxiv.org/content/10.110… 🧵👇

We have a new preprint for you: denoising fluorescent and cryo-ET data with a physics-informed DNN DeBCR. The network is customized for microscopy, has fewer parameters, and therefore is faster and does not hallucinate. Short thread below 👇👇 biorxiv.org/content/10.110…

Find our fresh peer-reviewed report on “Molecular Architecture of Synaptic Vesicles” here: pnas.org/doi/10.1073/pn… We analyzed synaptic vesicles in neurons and in isolation to describe molecules on their surface. 🧠💥🔬